NirogStreet.
Digitising a traditional practice means respecting how it already works.
- Client
- NirogStreet
- Sector
- Healthcare, ayurveda
- Scope
- App + web
- Stack
- Flutter, React, Python
A healthcare platform on app and web serving practitioners and patients, covering consultation, records and supply.
What made it hard.
Every read and write against a patient record has to be attributable, reversible and explainable months later.
Fragmented systems
Records sit across practice software, labs and insurers, each with its own format.
Clinician time
If a workflow adds thirty seconds per patient, adoption dies quietly however good the product is.
Regulatory surface
Health regulation changes what you can store, where, and for how long.
What we shipped.
A healthcare platform on app and web serving practitioners and patients, covering consultation, records and supply.
How it holds up.
The data model and consent rules are settled before any endpoint is written, because both constrain everything downstream. Prototypes go in front of clinicians early.
The systemPractitioner and patient data are separated with explicit consent boundaries between them.
Theirs, from day one.
Repositories, cloud accounts and documentation sat with the client throughout. Senior engineers wrote the production code rather than specifying it.
Ask for the full metrics on a call →More healthcare, ayurveda work.
All 42 case studies →Building something like NirogStreet?
Tell us what you are building. A senior engineer replies within one business day. NDA on request.